MALICIOUS URL DETECTION For Machine Learning Coursework BY PRAGATHI NARENDRA PROBLEMS Everything onlinegt is your data secure Cyber attacks huge threat in current days Monetary loss Theft of private information ID: 764150
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MALICIOUS URL DETECTIONFor Machine Learning Coursework BY PRAGATHI NARENDRA
PROBLEMS Everything online-> is your data secure?? Cyber attacks- huge threat in current days Monetary loss Theft of private information Malware installation Virus, etc… Cause losses of billions of dollars every year.
PROBLEMS
EXISTING SOLUTION Existing solution : Blacklisting URL Blacklisting lacks the ability to detect newly generated malicious URL’s. [1]
PROPOSED SOLUTION Classifying Web sites into 3 classes: Benign (0), Spam (1) and Malicious (2) Classification based on features of URL 1. Lexical features 2. Popularity 3. Host based features Merit : Site checked without accessing-reduces vulnerability of user.
PROPOSED SOLUTION
EXAMPLE
REFERENCES [1] -Malicious URL Detection using Machine Learning: A Survey Doyen Sahoo , Chenghao Liu, and Steven C.H. Hoi http://sysnet.ucsd.edu/projects/url/detecting malicious URL’shttp://archive.ics.uci.edu/ml/datasets/URL+Reputation
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